IDEAS home Printed from https://ideas.repec.org/a/nwe/godish/y2024i1p63-80.html
   My bibliography  Save this article

Progress of Renewable Energy Use in EU Countries – Statistical Analysis of Trends and Factors

Author

Listed:
  • Sonia Chipeva

    (University of National and World Economy, Sofia, Bulgaria)

  • Ventsislava Stoyanova

    (University of National and World Economy, Sofia, Bulgaria)

Abstract

The use of renewable energy sources is an important aspect of economic development throughout the world, including Europe, as it provides clean energy and contributes significantly to environmental transformation. Three clusters of EU countries are identified concerning their progress of the share of renewable energy (SRE) use in gross energy consumption for 2004-2022 applying cluster analysis based on the SRE trends in the period. Effects of important factors for expanding SRE are analyzed by developing a set of econometric models of renewable energy use in main sectors of energy balance – electricity, transport and cooling & heating.

Suggested Citation

  • Sonia Chipeva & Ventsislava Stoyanova, 2024. "Progress of Renewable Energy Use in EU Countries – Statistical Analysis of Trends and Factors," Godishnik na UNSS, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 63-80, October.
  • Handle: RePEc:nwe:godish:y:2024:i:1:p:63-80
    as

    Download full text from publisher

    File URL: https://unwe-yearbook.org/en/journalissues/article/11602
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    cluster analysis; trends; sustainability; share of renewable energy (SRE); econometric models; EU members;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nwe:godish:y:2024:i:1:p:63-80. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vanya Lazarova (email available below). General contact details of provider: https://edirc.repec.org/data/unweebg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.